DISABLED test_vmapjvpvjp_cholesky_solve_cuda_float32 (__main__.TestOperatorsCUDA)

[pytorch-bot]

Platforms: rocm

This test was disabled because it is failing in CI. See recent examples and the most recent trunk workflow logs.

Over the past 6 hours, it has been determined flaky in 3 workflow(s) with 3 failures and 3 successes.

Debugging instructions (after clicking on the recent samples link):
DO NOT ASSUME THINGS ARE OKAY IF THE CI IS GREEN. We now shield flaky tests from developers so CI will thus be green but it will be harder to parse the logs.
To find relevant log snippets:

1. Click on the workflow logs linked above
2. Click on the Test step of the job so that it is expanded. Otherwise, the grepping will not work.
3. Grep for test_vmapjvpvjp_cholesky_solve_cuda_float32
4. There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.

Sample error message

Traceback (most recent call last):
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_device_type.py", line 1144, in test_wrapper
    return test(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_cuda.py", line 280, in wrapped
    return f(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^
  File "/var/lib/jenkins/pytorch/test/functorch/test_ops.py", line 2143, in test_vmapjvpvjp
    self.assertEqual(loop_out, batched_out)
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py", line 4168, in assertEqual
    raise error_metas.pop()[0].to_error(  # type: ignore[index]
AssertionError: Tensor-likes are not close!

Mismatched elements: 50 / 50 (100.0%)
Greatest absolute difference: 0.41283702850341797 at index (0, 0, 4, 4) (up to 0.0001 allowed)
Greatest relative difference: 0.029489146545529366 at index (0, 0, 4, 4) (up to 0.0001 allowed)

The failure occurred for item [3]

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py", line 3213, in wrapper
    method(*args, **kwargs)
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_device_type.py", line 426, in instantiated_test
    result = test(self, **param_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_device_type.py", line 1224, in dep_fn
    return fn(slf, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_device_type.py", line 1224, in dep_fn
    return fn(slf, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py", line 1644, in wrapper
    fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_device_type.py", line 1156, in test_wrapper
    raise e_tracked from e
Exception: Tensor-likes are not close!

Mismatched elements: 50 / 50 (100.0%)
Greatest absolute difference: 0.41283702850341797 at index (0, 0, 4, 4) (up to 0.0001 allowed)
Greatest relative difference: 0.029489146545529366 at index (0, 0, 4, 4) (up to 0.0001 allowed)

The failure occurred for item [3]

Caused by sample input at index 7: SampleInput(input=Tensor[size=(5, 5), device="cuda:0", dtype=torch.float32], args=TensorList[Tensor[size=(5, 5), device="cuda:0", dtype=torch.float32, contiguous=False]], kwargs={'upper': 'False'}, broadcasts_input=False, name='')

To execute this test, run the following from the base repo dir:
    PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=7 PYTORCH_TEST_WITH_ROCM=1 python test/functorch/test_ops.py TestOperatorsCUDA.test_vmapjvpvjp_cholesky_solve_cuda_float32

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

Test file path: functorch/test_ops.py

For all disabled tests (by GitHub issue), see https://hud.pytorch.org/disabled.

cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @clee2000 @zou3519 @Chillee @samdow @kshitij12345

[pytorch-bot]

Hello there! From the DISABLED prefix in this issue title, it looks like you are attempting to disable a test in PyTorch CI. The information I have parsed is below:

• Test name: test_vmapjvpvjp_cholesky_solve_cuda_float32 (__main__.TestOperatorsCUDA)
• Platforms for which to skip the test: rocm
• Disabled by pytorch-bot[bot]

Within ~15 minutes, test_vmapjvpvjp_cholesky_solve_cuda_float32 (__main__.TestOperatorsCUDA) will be disabled in PyTorch CI for these platforms: rocm. Please verify that your test name looks correct, e.g., test_cuda_assert_async (__main__.TestCuda).

To modify the platforms list, please include a line in the issue body, like below. The default action will disable the test for all platforms if no platforms list is specified.

Platforms: case-insensitive, list, of, platforms

We currently support the following platforms: asan, dynamo, inductor, linux, mac, macos, rocm, slow, win, windows, xpu.

How to re-enable a test

To re-enable the test globally, close the issue. To re-enable a test for only a subset of platforms, remove the platforms from the list in the issue body. This may take some time to propagate. To re-enable a test only for a PR, put Fixes #164217 in the PR body and rerun the test jobs. Note that if a test is flaky, it maybe be difficult to tell if the test is still flaky on the PR.